I'm trying to build up a model to use 'chemical data' to predict 'sensory evaluation data'.

I've got multiple sensory data blocks (Matrix a1, a2, a3, ..., an) and one chemical data block (Matrix b). Now I'm trying to build up a chemical parameters - sensory evaluation model.

Is there any multivariate statistical methods that I can use? As far as I know, the L-PLS can only deal with 3 matrixes. Or any machine-learning methods you'd like to recommend?

Many thanks!

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